Description
Taxonomy Matching Using Background Knowledge, Softcover reprint of the original 1st ed. 2017
Linked Data, Semantic Web and Heterogeneous Repositories
Authors: Angermann Heiko, Ramzan Naeem
Language: EnglishSubject for Taxonomy Matching Using Background Knowledge:
Approximative price 36.91 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Angermann Heiko, Ramzan NaeemPublication date: 01-2018
Support: Print on demand
Approximative price 36.91 €
In Print (Delivery period: 15 days).
Add to cart the book of Angermann Heiko, Ramzan NaeemPublication date: 06-2019
103 p. · 15.5x23.5 cm · Paperback
Description
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This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field.
Topics and features: discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching; reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations; examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories; describes the theoretical background, state-of-the-art research, and practical real-world applications; covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems.This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management.
Part I: Introduction to Taxonomy Matching
Background Taxonomy Matching
Background of Taxonomic Heterogeneity
Part II: Recent Matching Techniques, Algorithms, Systems, Evaluations, and Datasets
Matching Techniques, Algorithms, and Systems
Matching Evaluations and Datasets
Part III: Taxonomy Heterogeneity Applications
Related Areas
Part IV: Conclusions
Conclusions
Dr. Heiko Angermann is an e-commerce, enterprise content management, and omni/multi-channel consultant, and the Head of Project Management at an e-commerce consulting house located in Nuremberg, Germany.
Prof. Naeem Ramzan is a full Professor of Computing Engineering in the School of Engineering and Computing at the University of West of Scotland, Paisley, UK. His other publications include the successful Springer title Social Media Retrieval.
Provides in-depth coverage of the state of the art in taxonomy matching, and the related fields of ontology matching and schema matching
Reviews matching strategies, matching algorithms, matching systems and OAEI campaigns, in addition to alternative evaluations
Describes issues of relevance to both researchers and practitioners